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- Enhanced-alignment Measure for Binary Foreground Map Evaluation1,716
This paper takes a detailed look at current binary FM evaluation measures and proposes a novel and effective E-measure (Enhanced-alignment measure), jointly capturing image-level statistics and local pixel matching information, which demonstrates the superiority of this measure over the available measures on 4 popular datasets via 5 meta-measures.
- EGNet: Edge Guidance Network for Salient Object Detection1,202
This paper presents an edge guidance network (EGNet) for salient object detection with three steps to simultaneously model these two kinds of complementary information in a single network to solve the complementarity between salient edge information and salient object information.
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- Enhancing text clustering by leveraging Wikipedia semantics223
A way to build a concept thesaurus based on the semantic relations (synonym, hypernym, and associative relation) extracted from Wikipedia is proposed and a unified framework to leverage these semantic relations in order to enhance traditional content similarity measure for text clustering is developed.
- Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning212
A novel self-sustaining representation expansion scheme that fuses main-br branch expansion and side-branch updating to maintain the old features and transfer the invariant knowledge to the new classes is proposed.
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- Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning193
This work proposes a novel incremental prototype learning scheme which consists of a random episode selection strategy that adapts the feature representation to various generated incremental episodes to enhance the corresponding extensibility, and a self-promoted prototype refinement mechanism which strengthens the expression ability of the new classes by explicitly considering the dependencies among different classes.
- Nighttime Dehazing with a Synthetic Benchmark181
A novel synthetic method to simulate nighttime hazy images from daytime clear images, which first reconstructs the scene geometry, then simulates the light rays and object reflectance, and finally renders the haze effects, which demonstrates their superiority over state-of-the-art methods in terms of both image quality and runtime.
- Learning Affordance Grounding from Exocentric Images142
A cross-view knowledge transfer framework that extracts affordance-specific features from exocentric interactions and enhances the perception of affordance regions by preserving affordance correlation is devised.
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- Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction129
Step-Audio is introduced, the first production-ready open-source solution that achieves state-of-the-art performance in human evaluations, especially in terms of instruction following and on open-source benchmarks like LLaMA Question.
- Progressive Retinex125
A novel progressive Retinex framework is presented, in which illumination and noise of low-light image are perceived in a mutually reinforced manner, leading to noise reduction low- light enhancement results.
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- Automatic Pavement-Crack Detection and Segmentation Based on Steerable Matched Filtering and an Active Contour Model108
This data indicates that pavement cracks are an important symptom of pavement deterioration and deficiency and accurate and complete information regarding pavement cracks is critical to determining pavement maintenance schedul...
- Grounding 3D Object Affordance from 2D Interactions in Images90
A novel Interaction-driven 3D Affordance Grounding Network (IAG), which aligns the region feature of objects from different sources and models the interactive contexts for 3D object affordance grounding and collects a Point-Image Affordance Dataset (PIAD) to support the proposed task.
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- 3D-QSAR Model of Flavonoids Binding at Benzodiazepine Site in GABAA Receptors79
With flavone as a structural template, three-dimensional quantitative structure-activity relationship (3D-QSAR) studies and ab initio calculations were performed on a series of flavonoids to build a reasonable pharmacophore model and propose specific S1 and S2 subsites relating to substituent positions.
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- E-MLB: Multilevel Benchmark for Event-Based Camera Denoising65
A large-scale event denoising dataset is constructed for the first time and the first nonreference event Denoising metric, the event structural ratio (ESR), which measures the structural intensity of given events is proposed, which is inspired by the contrast metric.
- LEMON: Learning 3D Human-Object Interaction Relation from 2D Images61
LEMON (LEarning 3D huMan-Object iNteraction relation), a unified model that mines interaction intentions of the counter-parts and employs curvatures to guide the extraction of ge-ometric correlations, combining them to anticipate the interaction elements.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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